如何根据第一次出现的日期和每个id列的附加列创建数据帧

import pandas as pd

df = pd.DataFrame()

df["first_date"] = ["2022-01-01", "2022-01-02", "2022-01-01"]
df["id"] = [1, 2, 3]

for id_value in df["id"]:
    # 根据ID值添加附加列值到数据帧
    # 这里只是示例，具体的操作取决于你的需求
    df.loc[df["id"] == id_value, "additional_column"] = "附加列值"

print(df)

import pandas as pd

# 创建空数据帧
df = pd.DataFrame()

# 添加第一次出现的日期列和ID列
df["first_date"] = ["2022-01-01", "2022-01-02", "2022-01-01"]
df["id"] = [1, 2, 3]

# 添加每个ID列的附加列
for id_value in df["id"]:
    # 根据ID值添加附加列值到数据帧
    # 这里只是示例，具体的操作取决于你的需求
    df.loc[df["id"] == id_value, "additional_column"] = "附加列值"

# 打印数据帧
print(df)